Treatment by -acetylcysteine and melatonin increases cardiac baroreflex and improves antioxidant reserve
Bibliographic record
Abstract
BACKGROUND: The aims of this study were to investigate the effects of melatonin and n-acetylcysteine on the baroreflex sensitivity and to verify whether those effects were correlated with their antioxidant capacity in Wistar-Kyoto and spontaneously hypertensive rats (SHR). METHODS: Rats were treated with 30 mg/kg/day of melatonin or 4 g/kg/day of n-acetylcysteine for 4 weeks. Changes in mean arterial pressure, heart rate, plasma norepinephrine, and epinephrine were measured in conscious rats after an intravenous injection of phenylephrine or sodium nitroprusside. RESULTS: The SHR were characterized by decreased reflex chronotropic responses to phenylephrine and sodium nitroprusside (P < .001 and P < .001), as well as by an enhanced increase in plasma catecholamine concentrations in response to sodium nitroprusside (P < .001). Melatonin and n-acetylcysteine produced a significant reduction in mean arterial pressure and heart rate in SHR (P < .001). Melatonin and n-acetylcysteine improved bradycardic (P < .001) and tachycardic (P < .001) baroreflex responses in SHR without modifying catecholamine responses. The antioxidant reserve, which was reduced in SHR as reflected by the lower glutathione peroxidase activity in plasma (P < .05), was normalized by n-acetylcysteine and melatonin (P < .05). n-acetylcysteine (P < .001) and melatonin (P < .05) increased glutathione peroxidase activity in erythrocytes from SHR. CONCLUSIONS: The results of the present study suggest that melatonin and n-acetylcysteine improve the baroreflex response in SHR in correlation with the antioxidant effects of these substances.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".